AZW SER8
Geekbench AI Score
4205
Single Precision Score
1834
Half Precision Score
7412
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 09:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8745HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER8 |
| Motherboard | AZW SER8 |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8745HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3576
665.1 IPS |
|
|
Image Classification (HP)
|
100% |
655
121.7 IPS |
|
|
Image Classification (Q)
|
99% |
8202
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
904
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3814
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7576
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5938
6.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
25916
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3311
262.6 IPS |
|
|
Object Detection (HP)
|
100% |
892
70.8 IPS |
|
|
Object Detection (Q)
|
86% |
8245
662.6 IPS |
|
|
Face Detection (SP)
|
100% |
6597
78.4 IPS |
|
|
Face Detection (HP)
|
100% |
1917
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
11084
132.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9431
72.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2898
22.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8842
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17872
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15134
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28778
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2755
101.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2545
94.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3613
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
1882
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1951
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2560
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3767
75.7 IPS |
